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Python for Data Science for Dummies contains an error in the example that appears on the top half of page 124. In the first of the two grey boxes, the code computes the results of four print statements. The bottom-most print statement, print x[1:2, 1:2], is supposed to compute a…

Legal leaders who want to meet their clients' expanding expectations should start moving their documents to future-ready document management solutions now if they want to stay competitive in the next few years, says Dan Puterbaugh of Adobe Systems Inc.Read More

Artificial Intelligence (AI) is one of the tech world’s favourite buzzwords – right up there with blockchain. I’m confident that somewhere on Amazon you’ll be able to buy an AI-assisted toaster that learns how you like your toast and logs each toasted slice to the blockchain for ‘toastal transparency’. Given…

Data science is a key discipline in a data-driven organization. Through analytics, data scientists can uncover previously unknown relationships in data to help an organization make better decisions. However, data science is often performed from local machines with limited resources and multiple datasets on a variety of databases. Moving to…

Earlier this week I had the pleasure of speaking about how to get started with data science, from the perspective of a developer. It was a great turnout for this new user group, who meet out of the Philadelphia (Malvern) Microsoft office every few weeks. If you’re interested in…

A discussion on the future of AI and Machine LearningTopic of the evening: AI, Machine Learning: Brave New World or End of HumanityDate and Time: Thursday, 26th of April 2018; 18:30-21:30We are happy to announce the upcoming event on Artificial Intelligence and Machine Learning. A top-class panel of experts will…

Qubole, which provides cloud big data-as-a-service, and Snowflake Computing, which provides a data warehouse built for the cloud, are partnering to enable customers to use Apache Spark in Qubole with data stored in Snowflake.Read More

Just a quick note: In his recent (when I wrote this but neglected to publish it) paper, 50 Years of Data Science, David Donaho pretty much nails key foundations of Data Science and how it's different from (just) Statistics or even (just) Machine Learning. I highly recommend that you read…